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Executive Viewpoint: interconnected neural networks in plant optimization

Gil Cohen's Executive Viewpoint column in the March 2021 issue of Hydrocarbon Processing, on interconnected neural networks for plant optimization.

Wireframe illustration of a crude unit, catalytic cracker and steam cracker linked by a network of signal lines

Imubit CEO and co-founder Gil Cohen wrote the Executive Viewpoint column in the March 2021 issue of Hydrocarbon Processing. The column opens from the premise that technology alone does not improve operations, and its subject is interconnected neural networks applied to plant optimization.

Hydrocarbon Processing asks readers to log in or subscribe to read the full column. For how Imubit applies Map, Model and Control across refining, chemicals and polymers, cement, and mining and minerals today, see the platform page.

About the author

Gil Cohen is the CEO and co-founder of Imubit. Before Imubit, he founded and led Cigol, a provider of data center system-on-chip network security solutions. He has published academic papers on machine learning, and his work has centered on developing new algorithms and applying them to previously unsolved problems in several industries. He holds BSc and MSc degrees in electrical engineering and a BSc in mathematics, all cum laude, from Ben-Gurion University of the Negev in Israel. His current profile is on the team page.

Read at hydrocarbonprocessing.com

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